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Artificial Intelligence in Personalized Learning: Current Developments and Prospects for the Future

Students & Supervisors

Student Authors
Arizit Chaki Artha
Bachelor of Science in Computer Science & Engineering, FST
Mirza Sultana Yeasmin Shova
Bachelor of Science in Computer Science & Engineering, FST
Nosrat Jahan Esha
Bachelor of Science in Computer Science & Engineering, FST
Md. Habibur Rahman
Supervisors
Md. Mortuza Ahmmed
Associate Professor, Faculty, FST

Abstract

"Abstract Background: Artificial Intelligence (AI) is revolutionizing the learning process through data-driven personalized learning experiences. AI applications like adaptive learning software, tutoring systems, and automated feedback are gaining popularity in workplaces and schools lately. These technologies enable students to learn at their own pace, match their learning style, and improve their performance, which increases engagement and achievement. However, even with AI becoming more common in education, there are still concerns about data privacy, biases in AI, teacher adjustment needs, and unequal access to technology. Understanding current trends and contemplating the potential of AI in the future is what is needed to create a reasonable and successful system of education. Objective: The primary goals of this research are: To explain the way AI is being used presently in individualized learning. To identify the strengths and weaknesses of using AI to education. To understand how AI affects students' interest and performance. To understand whether students and teachers like AI learning interfaces or not and if they can embrace them or not. To present suggestions on developing and utilizing AI in individualized education in the future. Data Source: Primary Data: Students, Teachers, and educational professional instructor reaction to an online survey. Variables Under study: AI Tools Used (type of AI tools adaptive learning, tutoring systems, feedback tools). Student Engagement Level of student interest and participation in AI-driven learning. Academic Performance Improvement in grades and learning speed due to AI tools. Perception of AI Students and teachers view on AI's effectiveness in personalized learning. Challenges Issues like data privacy, bias, and access to AI tools. 6. Benefits Advantages of AI, such as personalized learning and immediate feedback. "

Keywords

Artificial Intelligence Personalized Learning Adaptive Learning Student Engagement Academic Performance Educational Technology

Publication Details

  • Type of Publication: Conference 
  • Conference Name: 1st International Conference on Social Sciences (ICSS- 2025)
  • Date of Conference: 14/05/2025 - 14/05/2025
  • Venue: Begum Rokeya University, Bangladesh
  • Organizer: Organizer Faculty of Social Science, Begum Rokeya University, Rangpur, Bangladesh
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